Opus AI Research is the research division of OpusClip, dedicated to advancing artificial intelligence technologies, particularly in video understanding. Our team has contributed numerous high-impact publications in top-tier conferences and journals, covering areas such as video editing, generative models, and few-shot learning. Additionally, we actively participate in international AI competitions, achieving top rankings in video understanding challenges.
| Title | Conference |
|---|---|
| RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-Thought | ACL 2025 Main |
| VEU-Bench: Towards Comprehensive Understanding of Video Editing | CVPR 2025 Highlight |
| Number it: Temporal Grounding Videos like Flipping Manga | CVPR 2025 Poster |
| Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark | AAAI 2025 Poster |
| Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient | AAAI 2025 Poster |
| Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning | AAAI 2025 Poster |
| Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition | AAAI 2025 Poster |
| Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations | AAAI 2025 Oral |
| VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection | ICASSP 2025 Poster |
| Cocktail: Chunk-Adaptive Mixed-Precision Quantization for Long-Context LLM Inference | DATE 2025 Best Paper |
| Exploring Diverse In-Context Configurations for Image Caption | NeurIPS 2023 Poster |
| Few-Shot Font Generation by Learning Fine-Grained Local Styles | CVPR 2022 Poster |
| Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification | ICIP 2021 Best Student Paper |
| Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering | TCSVT 2020 |
Multilingual Video Reasoning Evaluation Challenge
Complex Video Reasoning & Robustness Evaluation Challenge
Multi-View Foul Recognition Track
Long-Term Video QA Track
Hour-Long Video QA Track
E-Commerce Debiasing Challenge